As artificial intelligence advances swiftly, ethical concerns regarding the creation and deployment of these transformative technologies are becoming increasingly prominent.

In a recent interview before the AI & Big Data Expo North America, Igor Jablokov, the CEO and founder of Pryon, delved into these crucial issues.

Jablokov highlighted numerous ethical challenges in AI, ranging from the emergence of AI-generated falsehoods to privacy breaches and biases in training data. Pryon, rooted in the early days of AI, has evolved to address these challenges by prioritizing responsible design for critical infrastructure and high-stakes scenarios.

The company emphasizes transparency and control over data usage, allowing organizations to safeguard sensitive information. Additionally, Pryon ensures that its AI outputs are traceable to their sources, enabling human validation.

In sectors like energy, manufacturing, and healthcare, Pryon incorporates human oversight before AI recommendations are implemented, underscoring the importance of expertise and emotional intelligence in decision-making.

Jablokov advocates for robust regulatory frameworks to guide AI development responsibly, expressing concerns about risks associated with generative AI. Pryon actively engages in regulatory discussions to shape these frameworks and mitigate potential dangers.

While some AI models raise concerns about unchecked risks, Pryon distinguishes itself by focusing on serious applications rather than open-ended conversational AI. Jablokov stresses the necessity of expertise and empathy in critical environments like healthcare.

At the upcoming AI & Big Data Expo, Pryon will showcase its platform's applications across various industries, offering insights into new ways of utilizing AI responsibly.

As AI expands its reach, Pryon's commitment to governance, transparency, and collaboration with regulators sets a standard for responsible AI development.